This work proposes the multi-objective version of the recently proposed Multi-Verse
Optimizer (MVO) called Multi-Objective Multi-Verse Optimizer (MOMVO). The same concepts …

Artificial bee colony (ABC) algorithm has shown good performance on many optimization
problems. However, these problems mainly focus on single-objective and ordinary multi …

The aim of this paper is to present a powerful simulation-based multi-objective optimization
of building energy efficiency and indoor thermal comfort to obtain the optimal solutions of the …

Dynamic weapon target assignment (DWTA) is an effective method for solving the problem
of battlefield firepower optimization in multiple stages and multiple rounds. The resolving …

Radio frequency identification (RFID) networks planning (RNP) is a challenging task on how
to deploy RFID readers under certain constraints. Existing RNP models are usually derived …

In addition to dominance-based and decomposition-based algorithms, performance
indicator-based algorithms have been widely used and investigated in the field of …

In the information age, the amount of data is huge which shows an exponential growth. In
addition, most services of application need to be interdependent with data, cause that they …

The strong points of Estimation-of-Distribution algorithms (EDAs) and specifically cross-
entropy methods are widely acknowledged. One of the main advantages of EDAs is that the …

Fabric dyeing is a critical production process in the clothing industry. Characterized by high
energy consumption and water pollutant emission, dyeing processes need careful …

Inspired by the natural phenomenon that honey bees follow the elite group in the foraging
process, we propose a novel artificial bee colony algorithm named ECABC based on elite …